Info-bionics Engineering MSc

In the Bionic Interfaces specialization, we focus on the tools needed for human-machine interfaces. Focused knowledge is necessary to understand how to interface with the human body in different ways and to obtain a control signal or feedback sensory information. These can be used to drive prosthetic limbs or replace lost sensory or locomotor functions. Useful new and innovative knowledge can be obtained in the fields of sensory robotics for medical rehabilitation devices, performance measurement and improvement for athletes, and ways to interact with computers.

In the neural data science specialization, our focus is on the data set and its interpretation generated in quantitative neuroscience research. Applied neuroscience, data science skills, and machine learning are required knowledge to interpret the large amount of data generated during quantitative neuroscience measurements and to apply it in the development of diagnostic or therapeutic tools. Students who choose this specialization will have the opportunity to gain insight into the broad spectrum of quantitative neuroscience research, in terms of the tools and the data, and the data processing algorithms. By applying modern machine learning methods and tools, students can gain useful knowledge with new and innovative potential and become part of a new era of quantitative neuroscience research and development. The specialization is taught in close cooperation with research laboratories and researchers from IEM, RCNS, and HAS.

The specialization will not be announced in the 2024/25/II academic year.

In the bio-nano sensors and imaging devices specialization, we focus on the new devices for multimodal medical imaging. Specialized knowledge is required to understand the principles of operation of different sensor and actuator devices, as well as the interaction of matter and photons (electromagnetic radiation). Applying this, we can create complex devices that allow us to look in ever greater detail into the functioning of our tissues, even at the molecular level, in an increasingly non-invasive way. By further developing such devices, new features can be added to both the diagnostic and therapeutic capabilities of medical imaging. By mastering them, useful knowledge can be acquired within this specialization, including new and innovative tools and devices.

The specialization will not be announced in the 2024/25/II academic year.

The specialization in systems biology focuses on the interaction and system-level behavior modeling of biological systems. In-depth molecular and cellular knowledge, nonlinear dynamical systems, and skills in mathematical modeling, as well as appropriate parallel programming skills, are required to construct and interpret successful model systems. The models include molecular reaction kinetic networks, protein-protein interactions, cell networks, and epidemiological modeling. We also deal with the issues of operation and dynamics of these networks, as well as their regulation in the subjects of this specialization. The goal is to be able to create predictive models that can be used in diagnostics and therapy to develop or complement new products and services based on the results of quantitative medical research.